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Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs

Overview of attention for article published in Genome Medicine, June 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

news
1 news outlet
twitter
35 X users

Citations

dimensions_citation
254 Dimensions

Readers on

mendeley
273 Mendeley
Title
Integrating informatics tools and portable sequencing technology for rapid detection of resistance to anti-tuberculous drugs
Published in
Genome Medicine, June 2019
DOI 10.1186/s13073-019-0650-x
Pubmed ID
Authors

Jody E. Phelan, Denise M. O’Sullivan, Diana Machado, Jorge Ramos, Yaa E. A. Oppong, Susana Campino, Justin O’Grady, Ruth McNerney, Martin L. Hibberd, Miguel Viveiros, Jim F. Huggett, Taane G. Clark

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 273 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 273 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 45 16%
Student > Master 40 15%
Student > Ph. D. Student 27 10%
Other 14 5%
Student > Doctoral Student 14 5%
Other 49 18%
Unknown 84 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 51 19%
Immunology and Microbiology 27 10%
Agricultural and Biological Sciences 26 10%
Medicine and Dentistry 23 8%
Unspecified 7 3%
Other 37 14%
Unknown 102 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 29. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 April 2023.
All research outputs
#1,316,874
of 24,932,492 outputs
Outputs from Genome Medicine
#276
of 1,536 outputs
Outputs of similar age
#28,455
of 357,410 outputs
Outputs of similar age from Genome Medicine
#5
of 22 outputs
Altmetric has tracked 24,932,492 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,536 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.1. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 357,410 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.